The AI Unlock: Totogi Says Telcos Need Context to Scale

Why It Matters

A unified ontology removes semantic friction, enabling telcos to deploy trustworthy Agentic AI at scale, which can dramatically cut operational costs and open high‑margin revenue opportunities.

Key Takeaways

• Telcos lack unified context, hindering Agentic AI scaling.
• Totogi's ontology provides a single truth across legacy systems.
• Pilot projects cut issue resolution from days to minutes.
• Enterprise sales AI uses ontology for real‑time script guidance.
• Four‑week pilots achieve near‑100% production deployment success rate.

Summary

At Mobile World Congress, Totogi’s Dr. Sean highlighted a fundamental barrier preventing telcos from scaling Agentic AI: the absence of a unified contextual layer. While operators possess abundant data and compute power, disparate definitions across hundreds of legacy systems create semantic chaos, causing AI agents to guess and produce unreliable outcomes.

Totogi’s answer is the Totogi ontology – an enterprise‑wide, single‑source representation of a telco’s business entities, processes, and rules. By routing AI applications through this ontology, operators can abstract away inconsistent terminology without overhauling existing systems, thereby eliminating hallucinations and governance concerns that have stalled deployments, such as AT&T’s 400 agents stuck in testing.

Real‑world pilots illustrate the impact. Zain Sudan reduced network‑fault diagnosis time from 48 hours to 30 minutes and added predictive AI to prevent outages. StarHub deployed the ontology in its enterprise sales unit, delivering live transcription, script suggestions, and product recommendations that act like a virtual chief marketing officer, boosting sales consistency and margin capture. Totogi runs four‑week pilots focused on concrete business problems, boasting a near‑100 % transition rate to production.

The broader implication is a potential hockey‑stick adoption curve for telco AI. With a reliable contextual backbone, operators can trust AI outputs, accelerate time‑to‑value, and unlock new revenue streams across network operations and customer‑facing functions, positioning themselves competitively in a rapidly digitizing market.

Original Description

During Mobile World Congress Barcelona 2026, Totogi CEO Danielle Rios sat down with RCR Wireless News’ Sean Kinney to get to the bottom of what’s stopping telcos from running AI agents, even when they have hundreds of them deployed.